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可拓案例推理是将可拓学与案例推理结合后形成的一种知识推理方法.首先介绍了可拓案例的复合元表示,并重点给出了区间型故障征兆的相似度计算方法.然后分析了可拓案例推理过程,在可拓案例检索中,采用了粗糙集方法确定故障征兆权重,并提出规则引导的检索策略;在可拓案例重用中,采用可拓传导变换实现了针对不同检索结果的可拓案例重用;在可拓案例修改中,采用可拓增删变换完成了对重用可拓案例的故障征兆和权重的增删;在可拓案例保存中,讨论了对修改可拓案例进行保存的添加、删除和替换3种方式.最后通过应用案例说明采用该方法进行故障诊断的过程,并对可拓案例检索的时间复杂度进行分析,将本文提出的检索策略与全局检索策略进行比较,结果表明采用本文提出的检索策略可以提高检索效率,加快诊断速度.
Case-based reasoning is a kind of knowledge reasoning method formed by combining extenics and case-based reasoning.First, the composite element representation of the extension case is introduced, and the similarity calculation method of interval-type fault symptom is given.And then, In extension case retrieval, a rough set method is used to determine the weight of fault symptom and a rule-based retrieval strategy is proposed. In extension case re-use, extension-oriented transformation is adopted to achieve the goal of different retrieval results Of extension case reuse. In the extension case modification, extension and deletion transformations are used to complete the addition and deletion of fault symptom and weight of reuse extension cases. In extension case preservation, the cases of modification extension cases are discussed Adding, deleting and replacing.Thirdly, the application of this method is given to illustrate the process of fault diagnosis, and the time complexity of retrieving case extension is analyzed, the retrieval strategy proposed in this paper is compared with the global retrieval strategy, and the result It shows that the retrieval strategy proposed in this paper can improve the retrieval efficiency and speed up the diagnosis.